{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# 本章节较为简单，主要就是运用统计函数绘制简单的统计图形。\n",
    "- bar()/barh() 柱状图\n",
    "- hist() 直方图\n",
    "- pie() 饼图\n",
    "- polar()极线图\n",
    "- scatter() 散点图、气泡图。\n",
    "- stem() 棉棒图\n",
    "- boxplot() 箱线图\n",
    "- errorbar()误差棒图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import random\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams[\"font.sans-serif\"] = ['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(10)\n",
    "np.random.seed(123)\n",
    "y = np.random.randint(1,10,10)\n",
    "\n",
    "plt.bar(x,y,\n",
    "        align='center',\n",
    "        color = 'c',\n",
    "        tick_label=[x for x in 'abcdefghij'],\n",
    "        hatch = \"////\",\n",
    "        )\n",
    "plt.ylabel('箱子重量（KG）')\n",
    "plt.xlabel(\"箱子编号\")\n",
    "plt.savefig(\"figure2.1.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(y,x,\n",
    "        align='center',\n",
    "        color = 'c',\n",
    "        tick_label=[x for x in 'abcdefghij'],\n",
    "        hatch = \"////\",\n",
    "        )\n",
    "plt.xlabel('箱子重量（KG）')\n",
    "plt.ylabel(\"箱子编号\")\n",
    "plt.savefig(\"figure2.2.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 这个绘制出来的结果与书本上面还是有不小的差距呢。\n",
    "x = np.random.randint(0,10,100)\n",
    "bins = np.arange(1,11,1)\n",
    "plt.hist(x, bins = bins,\n",
    "         color = 'g',\n",
    "         histtype='bar',\n",
    "         rwidth=1,\n",
    "         alpha = .6,\n",
    "         )\n",
    "# for bin, x in zip(bins,x):\n",
    "#     plt.axvline(bin,ymin = 0 , ymax = x)\n",
    "plt.xlabel('箱子重量（kg）')\n",
    "plt.ylabel('销售个数')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pie()\n",
    "kinds = ['简易箱','保温箱','行李箱','密封箱']\n",
    "colors = ['#e41a1c',\"#377eb8\",'#4daf4a','#984ea3']\n",
    "soldNums = [.05 , .45 , .15, .35]\n",
    "plt.pie(\n",
    "    soldNums,\n",
    "    labels=kinds,\n",
    "    autopct=\"%3.1f%%\",\n",
    "    startangle=60,\n",
    "    colors = colors,\n",
    ")\n",
    "plt.title(\"不同类型的箱子销售占比\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 极线图\n",
    "barSlices = 12\n",
    "theta = np.linspace(0.0, 2*np.pi, barSlices, endpoint=False)\n",
    "r = 30*np.random.rand(barSlices)\n",
    "plt.polar(\n",
    "    theta,r,\n",
    "    color =\"chartreuse\",\n",
    "    lw = 2,\n",
    "    ls = \":\",\n",
    "    marker= \"*\",\n",
    "    mfc = 'b',\n",
    "    ms = 10,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.rand(100)\n",
    "y = 13*x + 10*np.random.rand(100)\n",
    "plt.scatter(\n",
    "    x,y,\n",
    "    s = np.power(x*y/(1+np.random.rand(100)),2),\n",
    "    c = np.random.rand(100),\n",
    "    cmap = mpl.cm.RdYlBu,\n",
    "    marker=\"o\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<StemContainer object of 3 artists>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# stem()\n",
    "x = np.linspace(.5, 2*np.pi,20)\n",
    "y = np.random.randn(20)\n",
    "plt.stem(x,y,\n",
    "         linefmt=\"-.\",\n",
    "         markerfmt=\"o\",\n",
    "         basefmt=\"-\",\n",
    "         )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "code_folding": [],
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot()--用于绘制箱线图\n",
    "x = np.random.randn(1000)\n",
    "plt.boxplot(x)\n",
    "plt.xticks([1],[\"随机数生成器\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0.1, .6, 6)\n",
    "y = np.exp(x)\n",
    "plt.errorbar(x,y,\n",
    "            fmt='bo:',\n",
    "             yerr = .2,\n",
    "             xerr = .02,\n",
    "            )\n",
    "plt.xlim(0,.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}